Fuentes de referencia

Referencias 745–766 de 766

745. WebArena: A Realistic Web Environment for Building Autonomous Agents

     Zhou et al.
     2023-07-25

     Ubicación en la fuente: v4; abstract, benchmark and functional evaluation

     Alcance de la consulta: An executable website benchmark measures final functional outcomes rather than just action-text similarity; historical results remain tied to the stated version.

     Consulta: 2026-10-15

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     • 工具型 Agent 的可靠性：行动状态机、幂等语义与结果归因

746. Well-typed programs can't be blamed

     Philip Wadler; Robert Bruce Findler
     2009
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     • Types at the Boundary: Gradual Guarantees, Blame, and the Cost of Enforcement

747. What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

     Shivam Garg; Dimitris Tsipras; Percy Liang; Gregory Valiant
     2022
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     • Learning Inside the Context: Bayesian Ambiguity and Algorithmic Imitation

748. What learning algorithm is in-context learning? Investigations with linear models

     Ekin Akyürek; Dale Schuurmans; Jacob Andreas; Tengyu Ma; Denny Zhou
     2022
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     • Learning Inside the Context: Bayesian Ambiguity and Algorithmic Imitation

749. When and How Mixup Improves Calibration

     Linjun Zhang; Zhun Deng; Kenji Kawaguchi; James Zou
     2022
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     • Interpolation Changes the Learning Distribution

750. When and why PINNs fail to train: A neural tangent kernel perspective

     Sifan Wang; Xinling Yu; Paris Perdikaris
     2020
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     • Physics-Informed Learning Has a Scale: Residual Weighting, Units, and Error

751. When Machine Unlearning Jeopardizes Privacy

     Min Chen; Zhikun Zhang; Tianhao Wang; Michael Backes; Mathias Humbert; Yang Zhang
     2020
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     • What an Unlearning Test Can Actually Certify

752. Whole-organism lineage tracing by combinatorial and cumulative genome editing

     Aaron McKenna; Gregory M. Findlay; James A. Gagnon; Marshall S. Horwitz; Alexander F. Schier; Jay Shendure
     2016
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     • Recording Development without Rewriting It: The Information Limits of Cellular Lineage Tracing

753. Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

     Jaehoon Lee; Lechao Xiao; Samuel S. Schoenholz; Yasaman Bahri; Roman Novak; Jascha Sohl-Dickstein; Jeffrey Pennington
     2019
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     • Beyond a Frozen Tangent: What Kernel Limits Explain about Neural Feature Learning

754. Widespread, rapid grounding line retreat of Pine Island, Thwaites, Smith, and Kohler glaciers, West Antarctica, from 1992 to 2011

     E. Rignot; J. Mouginot; M. Morlighem; H. Seroussi; B. Scheuchl
     2014
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     • The Geometry of Ice-Sheet Instability: Grounding Lines, Feedbacks and Forecast Horizons

755. Wild Pollinators Enhance Fruit Set of Crops Regardless of Honey Bee Abundance

     Lucas A. Garibaldi; Ingolf Steffan-Dewenter; Rachael Winfree; Marcelo A. Aizen; Riccardo Bommarco; Saul A. Cunningham; et al.
     2013-03-29

     Ubicación en la fuente: Abstract; 41 crop systems

     Alcance de la consulta: 野生访花与结实率正关联；管理蜂补充不能简单替代多样性。

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     • 传粉网络的功能韧性：物种多样性、共同失效与农业产出的证据

756. WILDS: A Benchmark of in-the-Wild Distribution Shifts

     , , , , , , , , , , , , , , , , , , , , , , --------------------------------------------------------------------------------
     2020-12-14

     Ubicación en la fuente: Abstract; 原文方法、理论和实验章节见作者原始论文链接

     Alcance de la consulta: 一手论文；原文研究归属原作者。本文的推导示例与建议实验方案另行标注，不冒充原论文或本站实测。

     Consulta: 2026-10-21

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     • 听见不等于存在多少：生态声学 AI、检测概率与生物多样性推断
     • 从相关到干预：AI 因果推断中的识别、混杂与可迁移性
     • 视网膜基础模型的转化证据：自监督表征、患病率与临床工作流

757. WILDS: A Benchmark of in-the-Wild Distribution Shifts

     Pang Wei Koh; Shiori Sagawa; Henrik Marklund; Sang Michael Xie; Marvin Zhang; Akshay Balsubramani; Weihua Hu; Michihiro Yasunaga; Richard Lanas Phillips; Irena Gao; Tony Lee; Etienne David; Ian Stavness; Wei Guo; Berton A. Earnshaw; Imran S. Haque; Sara Beery; Jure Leskovec; Anshul Kundaje; Emma Pierson; Sergey Levine; Chelsea Finn; Percy Liang
     2021
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     • Auditing the Shortcut: Feature Interventions, Hidden Groups, and the Limits of Robustness Claims

758. WiscKey: Separating Keys from Values in SSD-conscious Storage

     Lanyue Lu; Thanumalayan Sankaranarayana Pillai; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau
     2016
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     • The Price of Sorted State: Compaction, Amplification, and Value Separation

759. Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

     Piotr Indyk; Haike Xu
     2023
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     • Searching with an Error Budget: Approximate Neighbors, Recall, and Workload Geometry

760. Write-Ahead Logging

     SQLite developers
     2026
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     • After the Power Fails: Crash Consistency and the Meaning of Durable

761. Write-Ahead Logging (WAL)

     PostgreSQL Global Development Group
     2026
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     • After the Power Fails: Crash Consistency and the Meaning of Durable

762. X-Trace: A Pervasive Network Tracing Framework

     Rodrigo Fonseca; George Porter; Randy H. Katz; Scott Shenker; Ion Stoica
     2007
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     • Seeing a Distributed Execution: Sampling, Context, and the Limits of Trace Evidence

763. x86-TSO: a rigorous and usable programmer's model for x86 multiprocessors

     Peter Sewell; Susmit Sarkar; Scott Owens; Francesco Zappa Nardelli; Magnus O. Myreen
     2010
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     • Concurrent Programs Across Memory Models: From Litmus Tests to Contracts

764. YaRN: Efficient Context Window Extension of Large Language Models

     Bowen Peng; Jeffrey Quesnelle; Honglu Fan; Enrico Shippole
     2023
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     • Beyond the Training Window: Position, Distance, and Extrapolation in Transformers

765. Zanzibar: Google's Consistent, Global Authorization System

     Ruoming Pang; Ramon Caceres; Mike Burrows; Zhifeng Chen; Pratik Dave; Nathan Germer; Alexander Golynski; Kevin Graney; Nina Kang; Lea Kissner; Jeffrey L. Korn; Abhishek Parmar; Christopher D. Richards; Mengzhi Wang
     2019
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     • Permission Has a Time: Relationship-Based Authorization and Consistent Revocation

766. Zoology: Measuring and Improving Recall in Efficient Language Models

     Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra; Christopher Ré
     2023
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     • What a Recurrent State Can Remember: Decay, Selectivity, and Sequence Memory